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Huang HK, Kuo J, Zhang Y, Aborahama Y, Cui M, Sastry K, Park S, Villa U, Wang LV, Anastasio MA. Fast aberration correction in 3D transcranial photoacoustic computed tomography via a learning-based image reconstruction method. PHOTOACOUSTICS 2025; 43:100698. [PMID: 40115737 PMCID: PMC11923815 DOI: 10.1016/j.pacs.2025.100698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2024] [Revised: 02/08/2025] [Accepted: 02/09/2025] [Indexed: 03/23/2025]
Abstract
Transcranial photoacoustic computed tomography (PACT) holds significant potential as a neuroimaging modality. However, compensating for skull-induced aberrations in reconstructed images remains a challenge. Although optimization-based image reconstruction methods (OBRMs) can account for the relevant wave physics, they are computationally demanding and generally require accurate estimates of the skull's viscoelastic parameters. To circumvent these issues, a learning-based image reconstruction method was investigated for three-dimensional (3D) transcranial PACT. The method was systematically assessed in virtual imaging studies that involved stochastic 3D numerical head phantoms and applied to experimental data acquired by use of a physical head phantom that involved a human skull. The results demonstrated that the learning-based method yielded accurate images and exhibited robustness to errors in the assumed skull properties, while substantially reducing computational times compared to an OBRM. To the best of our knowledge, this is the first demonstration of a learned image reconstruction method for 3D transcranial PACT.
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Affiliation(s)
- Hsuan-Kai Huang
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, 61801, IL, United States
| | - Joseph Kuo
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, 61801, IL, United States
| | - Yang Zhang
- Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, 91125, CA, United States
| | - Yousuf Aborahama
- Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, 91125, CA, United States
| | - Manxiu Cui
- Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, 91125, CA, United States
| | - Karteekeya Sastry
- Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, 91125, CA, United States
| | - Seonyeong Park
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, 61801, IL, United States
| | - Umberto Villa
- Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, 78712, TX, United States
| | - Lihong V Wang
- Andrew and Peggy Cherng Department of Medical Engineering, California Institute of Technology, Pasadena, 91125, CA, United States
| | - Mark A Anastasio
- Department of Bioengineering, University of Illinois Urbana-Champaign, Urbana, 61801, IL, United States
- Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, 61801, IL, United States
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Carroll A, Rae CD, Martin D, Dokos S, Loo C. The Effect of Cranial Sutures Should Be Considered in Transcranial Electrical Stimulation. J ECT 2025; 41:111-118. [PMID: 39652012 DOI: 10.1097/yct.0000000000001079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/28/2025]
Abstract
BACKGROUND Computational modeling is used to optimize transcranial electrical stimulation (tES) approaches, and the precision of these models is dependent on their anatomical accuracy. We are unaware of any computational modeling of tES that has included cranial sutures. OBJECTIVES The aims of the study were to review the literature on the timing of closure of the coronal and squamous sutures, which are situated under electrode placements used in tES; to review the literature regarding differences in skull and suture conductivity and to determine a more accurate conductivity for sutures; and to identify magnetic resonance image (MRI) techniques that could be used to detect cranial sutures. METHODS A scoping review of medical literature was conducted. We conducted computational modeling of a cranial bone plug using COMSOL Multiphysics finite element software, utilizing methodology and results from a previous study. We assessed use of the "3D Slicer" software to identify sutures in routine T1-weighted MRI scans. RESULTS Reports from forensic examinations and computed tomography (CT) scans showed suture closure does not correlate with age. Our computational modeling determined a cranial suture conductivity of 0.32 S/m, which is much higher than for skull (compact skull 0.004 S/m, standard trilayer 0.013 S/m). 3D slicer enabled rapid and precise identification of the anatomy and location of cranial sutures. CONCLUSIONS Cranial sutures persist throughout the lifespan and have a far higher conductivity than skull bone. Cranial sutures can be localized quickly and precisely using a combination of MRI and readily available modeling software. Sutures should be included in tES computational modeling and electroencephalography source imaging to improve the accuracy of results.
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Affiliation(s)
- Alistair Carroll
- From the Discipline of Psychiatry, University of New South Wales, Sydney Australia
| | | | - Donel Martin
- University of New South Wales, Sydney, Australia
| | | | - Colleen Loo
- University of New South Wales, Sydney, Australia
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Rai P, Janu AK, Shetty N, Kulkarni S. Current Landscape of Short-T2 Imaging Techniques in the Musculoskeletal System: The Past, Present and Future. J Magn Reson Imaging 2025. [PMID: 40256819 DOI: 10.1002/jmri.29776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2025] [Revised: 03/16/2025] [Accepted: 03/18/2025] [Indexed: 04/22/2025] Open
Abstract
Conventional MRI is limited in imaging tissues with short T2 relaxation times, such as bone, ligaments, and cartilage, due to their rapid signal decay. This limitation has spurred the development of specialized MRI techniques designed specifically for short-T2 tissue imaging. Traditional pulse sequences, including three-dimensional gradient echo (3D-GRE), susceptibility-weighted imaging (SWI), and Fast Field Echo Resembling a CT using Restricted Echo-Spacing (FRACTURE), initially addressed some of these challenges but often lacked sufficient resolution or contrast differentiation. Recent advancements, such as ultrashort echo time (UTE), zero echo time (ZTE), 3D-Bone, and synthetic computed tomography (sCT), have significantly enhanced the diagnostic capabilities of MRI by providing high-quality, CT-like visualization without exposure to ionizing radiation. These innovations have substantially improved MRI's ability to depict bone morphology, assess joint pathology, identify subtle fractures, and characterize bone tumors with higher accuracy. Beyond musculoskeletal applications, these techniques have demonstrated emerging clinical utility in additional domains, including pulmonary and dental imaging. This review article evaluates conventional pulse sequences alongside emerging MRI innovations, highlighting their clinical applications, current limitations, and technical considerations. Continued optimization of these techniques promises broader clinical adoption, potentially reducing dependence on invasive and radiation-intensive imaging modalities. Evidence Level: N/A Technical Efficacy: Stage 3.
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Affiliation(s)
- Pranjal Rai
- Department of Radiology, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - Amit Kumar Janu
- Department of Radiology, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Kharghar, Navi Mumbai, India
| | - Nitin Shetty
- Department of Radiology, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Kharghar, Navi Mumbai, India
| | - Suyash Kulkarni
- Department of Radiology, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
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Ristow I, Zhang S, Riedel C, Lenz A, Akoto R, Krause M, Adam G, Bannas P, Henes FO, Well L. Assessment of proximal tibial fractures with 3D FRACTURE (fast field echo resembling a CT using restricted echo-spacing) MRI-intra-individual comparison with CT. Eur Radiol 2025:10.1007/s00330-025-11522-3. [PMID: 40126605 DOI: 10.1007/s00330-025-11522-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2024] [Revised: 02/02/2025] [Accepted: 02/17/2025] [Indexed: 03/26/2025]
Abstract
OBJECTIVES To evaluate the feasibility and diagnostic performance of a 3D FRACTURE (fast field echo resembling a CT using restricted echo-spacing) MRI sequence for the detection and classification of proximal tibial fractures compared with CT. METHODS We retrospectively included 126 patients (85 male; 39.6 ± 14.5 years) from two centers following acute knee injury. Patients underwent knee MRI at 3 T including FRACTURE-MRI. Additional CT was performed in patients with tibial fractures (32.5%; n = 41) as the reference standard for fracture classification. Two radiologists independently evaluated FRACTURE-MRI for the presence of fractures and classified them according to AO/OTA, Schatzker, and the 10-segment classification. Diagnostic performance of FRACTURE-MRI was assessed using crosstabulations. Inter-reader agreement was estimated using Krippendorff's alpha. Image quality was graded on a five-point scale (5 = excellent; 1 = inadequate definition of fracture lines and fracture displacement) and assessed using estimated marginal means. RESULTS Fractures were detected by FRACTURE-MRI with a sensitivity of 91.5% (83.2-96.5%) and a specificity of 97.1% (93.3-99.0%). Regarding fracture classification, diagnostic performances were slightly lower, with the 10-segment classification yielding the best sensitivity of 85.7% (81.4-89.3%) and specificity of 97.4% (96.6-98.0%), and the Schatzker classification yielding the lowest sensitivity of 78.2% (67.4-86.8%) and specificity of 97.7% (94.1-99.4%). Inter-reader agreement across the whole cohort was excellent (Krippendorff's alpha 0.89-0.96) and when considering only patients with fractures, good to acceptable (0.48-0.91). Image quality was rated good (estimated marginal mean 4.3 (4.1-4.4)). CONCLUSION FRACTURE-MRI is feasible at 3 T enabling accurate delineation of fracture lines for precise diagnosis and classification of proximal tibial fractures. KEY POINTS Question CT-like MRI is increasingly being evaluated for its advantages in bone imaging but is not yet established in routine practice. Findings The 3D FRACTURE (fast field echo resembling a CT using restricted echo-spacing) MRI sequence is feasible at 3 T, allowing for diagnosis and classification of proximal tibial fractures. Clinical relevance FRACTURE-MRI might be a helpful alternative to computed tomography in an acute trauma setting by reducing costs and radiation exposure in patients requiring a preoperative MRI anyway.
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Affiliation(s)
- Inka Ristow
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
| | | | - Christoph Riedel
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Alexander Lenz
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ralph Akoto
- Department of Trauma Surgery, Orthopaedics and Sports Traumatology, BG Hospital Hamburg, Hamburg, Germany
| | - Matthias Krause
- Department of Trauma and Orthopaedic Surgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gerhard Adam
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Peter Bannas
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Frank Oliver Henes
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Diagnostic and Interventional Radiology, BG Hospital Hamburg, Hamburg, Germany
| | - Lennart Well
- Department of Diagnostic and Interventional Radiology and Nuclear Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Jiang D, Hong J, Yan Y, Huang H, You P, Huang W, Zhao X, She D, Cao D. Preoperative evaluation of lingual cortical plate thickness and the anatomical relationship of the lingual nerve to the lingual cortical plate via 3T MRI nerve-bone fusion. Dentomaxillofac Radiol 2025; 54:163-172. [PMID: 39589903 DOI: 10.1093/dmfr/twae060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 09/04/2024] [Accepted: 10/31/2024] [Indexed: 11/28/2024] Open
Abstract
OBJECTIVES To evaluate the reliability of 3T MRI nerve-bone fusion in assessing the lingual nerve (LN) and its anatomical relationship to the lingual cortical plate prior to the impacted mandibular third molar (IMTM) extraction. METHODS The MRI nerve and bone sequences used in this study were 3D T2-weighted fast field echo (3D-T2-FFE) and fast field echo resembling a CT using restricted echo-spacing (FRACTURE), respectively. Both sequences were performed in 25 subjects, and the resulting 3D-T2-FFE/FRACTURE fusion images were assessed by 2 independent observers. Semi-quantitative analyses included assessments of overall image quality, image artefacts, nerve continuity, and the detectability of 5 intermediate points (IPs). Quantitative analyses included measurements of the lingual cortical plate thickness (LCPT), vertical distance (V1* and V2*), and the closest horizontal distance (CHD) between the LN and the lingual cortical plate. Reliability was evaluated using weighted Cohen's kappa coefficient (κ), intraclass correlation coefficient (ICC), and Bland-Altman plots. Differences in LCPT between 3D-T2-FFE/FRACTURE fusion images and cone-beam computed tomography (CBCT) were compared using independent samples t-tests or Mann-Whitney U tests. RESULTS The fusion images demonstrated that the LN continuity score was 3.00 (1.00) (good), with 88% (44/50) of LNs displayed continuously at the IMTM level. Intra-reader agreement for nerve continuity was moderate (κ = 0.527), as was inter-reader agreement (κ = 0.428). The intra-reader and inter-reader agreement for LCPT measurements at the neck, mid-root, and apex of the IMTM were all moderate (ICC > 0.60). Intra-reader agreements for V1*, V2*, and CHD were moderate to excellent (ICC = 0.904, 0.967, and 0.723, respectively), and inter-reader agreements for V1*, V2*, and CHD were also moderate to excellent (ICC = 0.948, 0.941 and 0.623, respectively). The reliability of LCPT measurements between 3D-T2-FFE/FRACTURE fusion and CBCT was moderate (ICC = 0.609-0.796). CONCLUSIONS The 3D-T2-FFE/FRACTURE fusion technique demonstrated potential feasibility for the identification of the LN and its relationship to the lingual cortical plate, as well as for the measurement of LCPT. This study has generated a dataset that is capable of simultaneously defining the LN and LCPT.
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Affiliation(s)
- Dongmei Jiang
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, P.R. China
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, P.R. China
| | - Junhuan Hong
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, P.R. China
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, P.R. China
| | - Yalan Yan
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, P.R. China
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, P.R. China
| | - Hao Huang
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, P.R. China
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, P.R. China
| | - Peiying You
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, P.R. China
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, P.R. China
| | - Weilin Huang
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, P.R. China
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, P.R. China
| | - Xiance Zhao
- Philips Healthcare, Shanghai 200000, P.R. China
| | - Dejun She
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, P.R. China
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, P.R. China
- Key Laboratory of Radiation Biology of Fujian Higher Education Institutions, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, P.R. China
| | - Dairong Cao
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou 350005, P.R. China
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, P.R. China
- Key Laboratory of Radiation Biology of Fujian Higher Education Institutions, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, P.R. China
- Department of Radiology, Fujian Key Laboratory of Precision Medicine for Cancer, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, P.R. China
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Fujii R, Sugimura M, Kurita M. [Comparison of CT-like Images Using MRI]. Nihon Hoshasen Gijutsu Gakkai Zasshi 2025; 81:n/a. [PMID: 40058843 DOI: 10.6009/jjrt.25-1467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2025]
Abstract
PURPOSE The objective of this study was to quantitatively evaluate and compare the image contrast and image quality of several recently developed CT-like images (oZTEo, LAVA, MERGE). METHODS Using a self-made phantom created with a GE Healthcare (Milwaukee, WI, USA) MRI Pioneer 3.0T and pig leg bone, along with four types of tissue-mimicking phantoms, we compared cortical bone, contrast-to-noise ratio (CNR), signal change ratio of the tissue-simulating phantom, and visual evaluation. RESULTS CR and CNR were lowest in the order of MERGE, LAVA, and oZTEo. The signal change ratio of background signal and visual evaluation were highest in the order of oZTEo, LAVA, and MERGE. CONCLUSION In comparing CT-like images using MRI, the bone cortex could be visualized in white using black-and-white inversion in all CT-like images, and fracture lines could also be visualized. By capturing CT-like images tailored to the characteristics of each imaging sequence, it is expected that the number of examinations that can be completed using MRI alone will increase, further enhancing the usefulness of MRI.
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Nozawa M, Fukuda M, Kotaki S, Tomoda D, Morishita A, Akiyama H, Ariji Y. Evaluation of temporomandibular joint osteoarthritis using a new FRACTURE sequence of 3.0T MRI. Dentomaxillofac Radiol 2025; 54:64-69. [PMID: 39602786 DOI: 10.1093/dmfr/twae065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2024] [Revised: 10/07/2024] [Accepted: 11/07/2024] [Indexed: 11/29/2024] Open
Abstract
OBJECTIVES The purpose of this study was to determine the usefulness of a new MRI sequence, CT-like fast field echo with limited echo-spacing (FRACTURE), in diagnosing temporomandibular joint (TMJ) osteoarthritis compared with routine MRI TMJ sequences. METHODS The study sample comprised 76 patients (152 joints) who underwent MRI and CT examinations to diagnose TMJ disorders. Two specialists in oral and maxillofacial radiology assessed the bony changes of the TMJ on FRACTURE, proton density-weighted (PDw), and fat-suppression T2-weighted (T2wFS) sequences. Receiver operating characteristic curves were plotted for each sequence, and the accuracy, sensitivity, specificity, and area under the curve (AUC) were calculated. Additionally, the interobserver agreement (Cohen's kappa value) and sensitivity in assessing each osteoarthritis finding were calculated for each sequence. RESULTS The FRACTURE sequence had the highest diagnostic performance, with an accuracy of 0.85, sensitivity of 0.85, specificity of 0.84, and AUC of 0.84. These values were 0.84, 0.72, 0.91, and 0.80, respectively, for the PDw sequence, and 0.83, 0.72, 0.91, and 0.79, respectively, for the T2wFS sequence. The AUC did not significantly differ between the FRACTURE and PDw sequences (Delong test, P > .05), but did significantly differ between the FRACTURE and T2wFS sequences (P < .05). For all osteoarthritis findings, the FRACTURE sequence had the highest kappa values and the highest sensitivity. CONCLUSIONS FRACTURE sequencing may be a promising tool for the diagnosis of TMJ osteoarthritis compared with other conventional sequences.
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Affiliation(s)
- Michihito Nozawa
- Department of Oral Radiology, Osaka Dental University, Osaka 540-0008, Japan
| | - Motoki Fukuda
- Department of Oral Radiology, Osaka Dental University, Osaka 540-0008, Japan
| | - Shinya Kotaki
- Department of Oral Radiology, Osaka Dental University, Osaka 540-0008, Japan
| | - Daisuke Tomoda
- Department of Oral Radiology, Osaka Dental University, Osaka 540-0008, Japan
| | - Ayaka Morishita
- Department of Oral Radiology, Osaka Dental University, Osaka 540-0008, Japan
| | - Hironori Akiyama
- Department of Oral Radiology, Osaka Dental University, Osaka 540-0008, Japan
| | - Yoshiko Ariji
- Department of Oral Radiology, Osaka Dental University, Osaka 540-0008, Japan
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Wang N, Jin Z, Liu F, Chen L, Zhao Y, Lin L, Liu A, Song Q. Bone injury imaging in knee and ankle joints using fast-field-echo resembling a CT using restricted echo-spacing MRI: a feasibility study. Front Endocrinol (Lausanne) 2024; 15:1421876. [PMID: 39072275 PMCID: PMC11273369 DOI: 10.3389/fendo.2024.1421876] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 06/25/2024] [Indexed: 07/30/2024] Open
Abstract
Purpose To explore the consistency of FRACTURE (Fast-field-echo Resembling A CT Using Restricted Echo-spacing) MRI and X-Ray/computerized tomography (CT) in the evaluation of bone injuries in knee and ankle joints. Methods From Nov. 2020 to Jul. 2023, 42 patients with knee joint or ankle joint injuries who underwent FRACTURE MRI examinations were retrospectively collected. 11 patients were examined by both X-Ray and FRACTURE examinations. 31 patients were examined by both CT and FRACTURE examinations. The fracture, osteophyte, and bone destruction of the joints were evaluated by two radiologists using X-Ray/CT and FRACTURE images, respectively. Kappa test was used for consistency analysis. Results The evaluation consistency of fracture, osteophyte and bone destruction via X-Ray and FRACTURE images by radiologist 1 were 0.879, 0.867 and 0.847 respectively, and for radiologist 2 were 0.899, 0.930, and 0.879, respectively. The evaluation consistency of fracture, osteophyte and bone destruction via CT and FRACTURE images by radiologist 1 were 0.938, 0.937 and 0.868 respectively, and for radiologist 2 were 0.961, 0.930, and 0.818, respectively. Conclusion For fracture, osteophyte, and bone destruction of knee and ankle joints. FRACTURE MRI showed a high consistency with X-Ray/CT examinations.
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Affiliation(s)
- Nan Wang
- Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Zhengshi Jin
- Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Funing Liu
- Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Lihua Chen
- Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Ying Zhao
- Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Liangjie Lin
- Clinical and Technical Support, Philips Healthcare, Beijing, China
| | - Ailian Liu
- Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Qingwei Song
- Department of Radiology, the First Affiliated Hospital of Dalian Medical University, Dalian, China
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Huang H, Yan Y, Jiang D, Zhao X, Cao D, She D. Is 3T MR nerve-bone fusion imaging a viable alternative to MRI-CBCT to identify the relationship between the inferior alveolar nerve and mandibular third molar. Clin Oral Investig 2024; 28:256. [PMID: 38630324 DOI: 10.1007/s00784-024-05649-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 04/02/2024] [Indexed: 04/19/2024]
Abstract
OBJECTIVES To investigate the feasibility of MRI nerve-bone fusion imaging in assessing the relationship between inferior alveolar nerve (IAN) / mandibular canal (MC) and mandibular third molar (MTM) compared with MRI-CBCT fusion. MATERIALS AND METHODS The MRI nerve-bone fusion and MRI-CBCT fusion imaging were performed in 20 subjects with 37 MTMs. The Hausdorff distance (HD) value and dice similarity coefficient (DSC) was calculated. The relationship between IAN/MC and MTM roots, inflammatory, and fusion patterns were compared between these two fused images. The reliability was assessed using a weighted κ statistic. RESULTS The mean HD and DSC ranged from 0.62 ~ 1.35 and 0.83 ~ 0.88 for MRI nerve-bone fusion, 0.98 ~ 1.50 and 0.76 ~ 0.83 for MRI-CBCT fusion. MR nerve-bone fusion had considerable reproducibility compared to MRI-CBCT fusion in relation classification (MR nerve-bone fusion κ = 0.694, MRI-CBCT fusion κ = 0.644), direct contact (MR nerve-bone fusion κ = 0.729, MRI-CBCT fusion κ = 0.720), and moderate to good agreement for inflammation detection (MR nerve-bone fusion κ = 0.603, MRI-CBCT fusion κ = 0.532, average). The MR nerve-bone fusion imaging showed a lower ratio of larger pattern compared to MR-CBCT fusion (16.2% VS 27.3% in the molar region, and 2.7% VS 5.4% in the retromolar region). And the average time spent on MR nerve-bone fusion and MRI-CBCT fusion was 1 min and 3 min, respectively. CONCLUSIONS Both MR nerve-bone fusion and MRI-CBCT fusion exhibited good consistency in evaluating the spatial relationship between IAN/MC and MTM, fusion effect, and inflammation detection. CLINICAL RELEVANCE MR nerve-bone fusion imaging can be a preoperative one-stop radiation-free examination for patients at high risk for MTM surgery.
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Affiliation(s)
- Hao Huang
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, Fuzhou, Fujian, 350005, People's Republic of China
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, People's Republic of China
| | - Yalan Yan
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, Fuzhou, Fujian, 350005, People's Republic of China
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, People's Republic of China
| | - Dongmei Jiang
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, Fuzhou, Fujian, 350005, People's Republic of China
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, People's Republic of China
| | - Xiance Zhao
- Philips Healthcare, Shanghai, 200000, People's Republic of China
| | - Dairong Cao
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, Fuzhou, Fujian, 350005, People's Republic of China.
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, People's Republic of China.
- Key Laboratory of Radiation Biology of Fujian Higher Education Institutions, the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, People's Republic of China.
- Department of Radiology, Fujian Key Laboratory of Precision Medicine for Cancer, the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, People's Republic of China.
| | - Dejun She
- Department of Radiology, First Affiliated Hospital of Fujian Medical University, 20 Cha-Zhong Road, Fuzhou, Fujian, 350005, People's Republic of China.
- Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, People's Republic of China.
- Key Laboratory of Radiation Biology of Fujian Higher Education Institutions, the First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian, 350005, People's Republic of China.
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Feuerriegel GC, Kronthaler S, Weiss K, Haller B, Leonhardt Y, Neumann J, Pfeiffer D, Hesse N, Erber B, Schwaiger BJ, Makowski MR, Woertler K, Karampinos DC, Wurm M, Gersing AS. Assessment of glenoid bone loss and other osseous shoulder pathologies comparing MR-based CT-like images with conventional CT. Eur Radiol 2023; 33:8617-8626. [PMID: 37453986 PMCID: PMC10667374 DOI: 10.1007/s00330-023-09939-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 04/24/2023] [Accepted: 05/16/2023] [Indexed: 07/18/2023]
Abstract
OBJECTIVES To evaluate and compare the diagnostic performance of CT-like images based on a 3D T1-weighted spoiled gradient-echo sequence (T1 GRE), an ultra-short echo time sequence (UTE), and a 3D T1-weighted spoiled multi-echo gradient-echo sequence (FRACTURE) with conventional CT in patients with suspected osseous shoulder pathologies. MATERIALS AND METHODS Patients with suspected traumatic dislocation of the shoulder (n = 46, mean age 40 ± 14.5 years, 19 women) were prospectively recruited and received 3-T MR imaging including 3D T1 GRE, UTE, and 3D FRACTURE sequences. CT was performed in patients with acute fractures and served as standard of reference (n = 25). Agreement of morphological features between the modalities was analyzed including the glenoid bone loss, Hill-Sachs interval, glenoid track, and the anterior straight-line length. Agreement between the modalities was assessed using Bland-Altman plots, Student's t-test, and Pearson's correlation coefficient. Inter- and intrareader assessment was evaluated with weighted Cohen's κ and intraclass correlation coefficient. RESULTS All osseous pathologies were detected accurately on all three CT-like sequences (n = 25, κ = 1.00). No significant difference in the percentage of glenoid bone loss was found between CT (mean ± standard deviation, 20.3% ± 8.0) and CT-like MR images (FRACTURE 20.6% ± 7.9, T1 GRE 20.4% ± 7.6, UTE 20.3% ± 7.7, p > 0.05). When comparing the different measurements on CT-like images, measurements performed using the UTE images correlated best with CT. CONCLUSION Assessment of bony Bankart lesions and other osseous pathologies was feasible and accurate using CT-like images based on 3-T MRI compared with conventional CT. Compared to the T1 GRE and FRACTURE sequence, the UTE measurements correlated best with CT. CLINICAL RELEVANCE STATEMENT In an acute trauma setting, CT-like images based on a T1 GRE, UTE, or FRACTURE sequence might be a useful alternative to conventional CT scan sparing associated costs as well as radiation exposure. KEY POINTS • No significant differences were found for the assessment of the glenoid bone loss when comparing measurements of CT-like MR images with measurements of conventional CT images. • Compared to the T1 GRE and FRACTURE sequence, the UTE measurements correlated best with CT whereas the FRACTURE sequence appeared to be the most robust regarding motion artifacts. • The T1 GRE sequence had the highest resolution with high bone contrast and detailed delineation of even small fractures but was more susceptible to motion artifacts.
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Affiliation(s)
- Georg C Feuerriegel
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany.
| | - Sophia Kronthaler
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany
| | | | - Bernhard Haller
- Institute of Medical Informatics, Statistics and Epidemiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Yannik Leonhardt
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany
| | - Jan Neumann
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany
- Musculoskeletal Radiology Section, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Daniela Pfeiffer
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany
| | - Nina Hesse
- Department of Radiology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Bernd Erber
- Department of Radiology, University Hospital of Munich, LMU Munich, Munich, Germany
| | - Benedikt J Schwaiger
- Department of Neuroradiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Marcus R Makowski
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany
| | - Klaus Woertler
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany
- Musculoskeletal Radiology Section, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Dimitrios C Karampinos
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany
| | - Markus Wurm
- Department of Trauma Surgery, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Alexandra S Gersing
- Department of Radiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Strasse 22, 81675, Munich, Germany
- Department of Neuroradiology, University Hospital of Munich, LMU Munich, Munich, Germany
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Tsuchiya K, Gomyo M, Katase S, Hiraoka S, Tateishi H. Magnetic resonance bone imaging: applications to vertebral lesions. Jpn J Radiol 2023; 41:1173-1185. [PMID: 37209299 PMCID: PMC10613598 DOI: 10.1007/s11604-023-01449-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 05/12/2023] [Indexed: 05/22/2023]
Abstract
MR bone imaging is a recently introduced technique, that allows visualization of bony structures in good contrast against adjacent structures, like CT. Although CT has long been considered the modality of choice for bone imaging, MR bone imaging allows visualization of the bone without radiation exposure while simultaneously allowing conventional MR images to be obtained. Accordingly, MR bone imaging is expected as a new imaging technique for the diagnosis of miscellaneous spinal diseases. This review presents several sequences used in MR bone imaging including black bone imaging, ultrashort/zero echo time (UTE/ZTE) sequences, and T1-weighted 3D gradient-echo sequence. We also illustrate clinical cases in which spinal lesions could be effectively demonstrated on MR bone imaging, performed in most cases using a 3D gradient-echo sequence at our institution. The lesions presented herein include degenerative diseases, tumors and similar diseases, fractures, infectious diseases, and hemangioma. Finally, we discuss the differences between MR bone imaging and previously reported techniques, and the limitations and future perspectives of MR bone imaging.
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Affiliation(s)
- Kazuhiro Tsuchiya
- Department of Radiology, JR Tokyo General Hospital, 2-1-3 Yoyogi, Shibuya-ku, Tokyo, 151-8528, Japan.
- Department of Radiology, Faculty of Medicine, Kyorin University, 6-20-2 Shinkawa, Mitaka City, Tokyo, 181-8611, Japan.
| | - Miho Gomyo
- Department of Radiology, Faculty of Medicine, Kyorin University, 6-20-2 Shinkawa, Mitaka City, Tokyo, 181-8611, Japan
| | - Shichiro Katase
- Department of Radiology, Faculty of Medicine, Kyorin University, 6-20-2 Shinkawa, Mitaka City, Tokyo, 181-8611, Japan
| | - Sayuki Hiraoka
- Department of Radiology, JR Tokyo General Hospital, 2-1-3 Yoyogi, Shibuya-ku, Tokyo, 151-8528, Japan
| | - Hidekatsu Tateishi
- Department of Radiology, JR Tokyo General Hospital, 2-1-3 Yoyogi, Shibuya-ku, Tokyo, 151-8528, Japan
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Wiesinger F, Ho ML. Zero-TE MRI: principles and applications in the head and neck. Br J Radiol 2022; 95:20220059. [PMID: 35616709 PMCID: PMC10162052 DOI: 10.1259/bjr.20220059] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 04/21/2022] [Accepted: 05/12/2022] [Indexed: 12/17/2022] Open
Abstract
Zero echo-time (ZTE) MRI is a novel imaging technique that utilizes ultrafast readouts to capture signal from short-T2 tissues. Additional sequence advantages include rapid imaging times, silent scanning, and artifact resistance. A robust application of this technology is imaging of cortical bone without the use of ionizing radiation, thus representing a viable alternative to CT for both rapid screening and "one-stop-shop" MRI. Although ZTE is increasingly used in musculoskeletal and body imaging, neuroimaging applications have historically been limited by complex anatomy and pathology. In this article, we review the imaging physics of ZTE including pulse sequence options, practical limitations, and image reconstruction. We then discuss optimization of settings for ZTE bone neuroimaging including acquisition, processing, segmentation, synthetic CT generation, and artifacts. Finally, we examine clinical utility of ZTE in the head and neck with imaging examples including malformations, trauma, tumors, and interventional procedures.
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Affiliation(s)
| | - Mai-Lan Ho
- Nationwide Children’s Hospital and The Ohio State University, Columbus, USA
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MAHE K, GARETIER M, DUCLOYER M. Advances in Forensic Neuroimaging. J Neuroradiol 2022; 49:235-236. [DOI: 10.1016/j.neurad.2022.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 04/14/2022] [Accepted: 04/14/2022] [Indexed: 10/18/2022]
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